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大浩浩的笔记课堂——FRM考试学习笔记099

  • 2026-01-26 23:16:17
大浩浩的笔记课堂——FRM考试学习笔记099

Topic 28 Netting,Compression,Resets,and Termination Features

1.Netting:

⑴netting mechanisms:

①payment netting 付款净值结算:

A.definition:

Combining the cash flows from different contracts with a counterparty into a single net amount,net cash flows occurring on the same day.

其是指交易双方同时结算互偿款项时,只需由一方向另一方支付付款净值的过程。

B.hedging risks:

settlement risk,operational risk

C.characteristics:

a/ It allows an institution to combine same-day cash flows into a single net payment.This reduces settlement risk and enhances operational efficiency.

b/ However,it does leave operational risk,which has been illustrated in a recent high-profile case during the financial crisis.

②closeout netting 清盘净值结算:

A.definition:

It allows the termination of all contracts between the insolvent and a solvent counterparty,together with the offsetting of all transaction values.The netting of contract values with a counterparty in the event of the counterparty´s default.

其是指在交易终结之时所实施的净值结算,此时只发生净轧差金额的债务关系。

B.hedging risks:

counterparty risk(pre-settlement risk)

C.usage:

The 3 categories of the trades need for closeout netting:

a/ trades may constitute hedges

b/ trades may constitute unwinds in that,rather than canceling a transaction,the reverse trade may have been executed

c/ trades may be largely independent

D.characteristics:

a/ close out:

the right to terminate transactions with the defaulted counterparty and cease any contractual payment

b/ netting:

the right to offset amounts due at termination of individual contracts to determine a net balance

c/ reducing risk:

Closeout netting is relevant to counterparty risk since it reduces pre-settlement risk,netting agreements are crucial.

⑵netting arrangements:

①They would involve multiple counterparties to mitigate counterparty and operational risk.

②Typically,multilateral netting is achieved with a central entity,such as an exchange or clearinghouse.

③The futures would have the most beneficial effect on netting.

⑶netting sets and subadditivity:

Across netting sets,exposure will always be additive,whereas within a netting set market-to-market values can be added:

So,a trading instrument will have a beneficial effect on netting if it can have a negative market-to-market value during its life.(e.g.future)

Within a netting set,quantities,such as expected exposure and CVA are non-additive.

⑷the impact of netting:

Netting means that the overall credit exposure in the market grows at a lower rate than the notional growth of the market if self.

Netted positions are inherently more volatile than their underlying gross positions,which can create systematic risk.

⑸product coverage:

Cross-product netting is typically possible within one of these categories(interest rate and foreign exchange transactions),netting across these product categories(OTC and repos) is usually not possible.

2.Termination features and trade compression:

⑴reset agreement:

①It avoid a trade becoming strongly in-the-money by means of readjusting product-specific parameters that reset the trade to be more at-the-money.

②The reset means that the notional on one leg of the swap will change,such a reset is similar to the impact of closing out the transaction and executing a replacement transaction at market rates and consequently reduces the exposure.

⑵additional termination events(break clauses):

①the usage of termination events:

They are useful in giving the possibility for an institution to terminate a trade prior to their counterparty´s creditworthiness deteriorating to the point of bankruptcy.

②The events can be defined to fall into 3 categories:

A.mandatory:

The transaction will definitely terminate at the date of the break clauses.

B.optional("gimmicks""moral hazard""exercise early before"):

They have the option to terminate the transaction at the pre-specified date.

C.trigger-based:

A trigger(typically a ratings downgrade) must occur before the break clauses may be exercised.("banker´s paradox")

·特别注意!

·Using credit ratings,create further problems:

*Rating transactions probabilities can not be implied from market data.

*Ratings have been shown to be extremely slow in reacting to negative credit information.

·特别注意!

·reset agreement vs. break clauses:

reset agreements

readjusts parameters for trades

break clauses

(liquidity put/early termination option)

to terminate a transaction at specified future dates at replacement value

⑶walkaway features(tear up,1992年以前popular):

①It effectively allows an institution to cancel transactions in the event that their counterparty defaults.They would clearly only choose to do this in case they were in debt to the counterparty.

②Even without an explicit walkaway agreement,an institution can still attempt to gain in the event of counterparty default by not closing out contracts that are out-of-the money to them but ceasing underlying payments.

③Any type of walkaway feature is arguably rather unpleasant and should be avoided due to the additional costs for the counterparty in default and the creation of moral hazard.

⑷trade compression:

①It reduces net exposure without the need to change the overall risk profile.

②It is an approach for utilizing multilateral netting without the need for a membership organization.

③Compression aims to reduce the gross notional amount and the number of trades(e.g.,OTC derivatives transactions)

④Exchange or central counterparty via trade compression can reduce the operational costs,but also can minimize counterparty risk.

⑸multilateral netting:

①advantage:

Even non-matching exposures could be reduced to their lowest level.

②disadvantages:

A.However,implementation of multilateral netting is not trivial.

B.It tends to mutualise and homogenize counterparty risk,reducing incentives for institutions to scrutinize the credit quality of their counterparties.


大浩浩的笔记课堂之FRM考试学习笔记合集

【写在开篇】

【正文内容】

FRM一级考试

FRM级考试

A.Market Risk

A.市场风险

Topic 1 Estimating Market Risk Measures:An Introduction and Overview

Topic 2 Non-Parametric Approaches

Topic 3 Parametric Approaches:Extreme Value

Topic 4 Backtesting VAR

Topic 5 VAR Mapping

Topic 6 Messages from the Academic Literature on Risk Management for the Trading Book

Topic 7 Some Correlation Basics:Properties,Motivation and Terminology

Topic 8 Empirical Properties of Correlation:How Do Correlation Behave in the Real World

Topic 9 Statistical Correlation Models—Can We Apply Them to Finance

Topic 10 Financial Correlation Modeling—Copula Correlations

Topic 11 Empirical Approaches to Risk Metrics and Hedging

Topic 12 The Science of Term Structure Models

Topic 13 The Shape of the Term Structure

Topic 14 The Art of Term Structure Models:Drift

Topic 15 The Art of Term Structure Models:Volatility and Distribution

Topic 16 Overnight Index Swap(OIS) Discounting

Topic 17 Volatility Smiles

B.Credit Risk

B.信用风险

Topic 18 The Credit Decision

Topic 19 The Credit Analyst

Topic 20 Default Risk:Quantitative Methodologies

Topic 21 Credit Risks and Credit Derivatives

Topic 22 Credit and Counterparty Risk

Topic 23 Spread Risk and Default Intensity Models

Topic24Portfolio Credit Risk

Topic 25 Structured Credit Risk

Topic 26 Defining Counterparty Credit Risk

Topic 27 The Evolution of Stress Testing Counterparty Exposures


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  1. CONNECT:[ UseTime:0.000753s ] mysql:host=127.0.0.1;port=3306;dbname=no_67808;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.001317s ]
  3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.000711s ]
  4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.000648s ]
  5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.001183s ]
  6. SELECT * FROM `set` [ RunTime:0.000576s ]
  7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.001502s ]
  8. SELECT * FROM `article` WHERE `id` = 461178 LIMIT 1 [ RunTime:0.009452s ]
  9. UPDATE `article` SET `lasttime` = 1771040101 WHERE `id` = 461178 [ RunTime:0.006754s ]
  10. SELECT * FROM `fenlei` WHERE `id` = 65 LIMIT 1 [ RunTime:0.006840s ]
  11. SELECT * FROM `article` WHERE `id` < 461178 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.001147s ]
  12. SELECT * FROM `article` WHERE `id` > 461178 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.000914s ]
  13. SELECT * FROM `article` WHERE `id` < 461178 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.007453s ]
  14. SELECT * FROM `article` WHERE `id` < 461178 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.002616s ]
  15. SELECT * FROM `article` WHERE `id` < 461178 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.094763s ]
0.247399s